ENSEMBLES

作品数:95被引量:130H指数:6
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相关领域:理学更多>>
相关作者:李超凡王石陆日宇张文霞周天军更多>>
相关机构:中国科学院大气物理研究所中国科学院大学南京信息工程大学中国人民解放军总医院更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划国家教育部博士点基金中国博士后科学基金更多>>
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Experimental Assessment of the Flame Resistance Properties of Firefighter Protective Ensembles, including the SPF1 Helmet
《Materials Sciences and Applications》2025年第1期11-26,共16页Myriam Millogo Souleymane Zio Issiaka Nayaga Haidara Taboré Sidi Sawadogo Arsène Bayala 
Firefighters rely on their protective gear for thermal insulation during fires. This study evaluated the flame resistance of firefighter PPE, including helmets, turnout gear, and gloves, under extreme conditions. Resu...
关键词:Firefighter PPE Flame Resistance Thermal Protection Heat Transfer 
Machine learning ensemble model prediction of northward shift in potato cyst nematodes(Globodera rostochiensis and G.pallida)distribution under climate change conditions
《Journal of Integrative Agriculture》2024年第10期3576-3591,共16页Yitong He Guanjin Wang Yonglin Ren Shan Gao Dong Chu Simon J.McKirdy 
funded by the National Key R&D Program of China(2021YFD1400200);the Taishan Scholar Constructive Engineering Foundation of Shandong,China(tstp20221135)。
Potato cyst nematodes(PCNs)are a significant threat to potato production,having caused substantial damage in many countries.Predicting the future distribution of PCN species is crucial to implementing effective biosec...
关键词:invasive species distribution future climates homogeneous climate predictors single-algorithm ensembles multi-algorithm ensembles artificial neural network 
Vector magnetometry in zero bias magnetic field using nitrogen-vacancy ensembles
《Chinese Physics B》2024年第10期21-29,共9页Chunxing Li Fa-Zhan Shi Jingwei Zhou Peng-Fei Wang 
supported by the National Key R&D Program of China(Grant Nos.2021YFB3202800 and 2023YF0718400);Chinese Academy of Sciences(Grant No.ZDZBGCH2021002);Chinese Academy of Sciences(Grant No.GJJSTD20200001);Innovation Program for Quantum Science and Technology(Grant No.2021ZD0303204);Anhui Initiative in Quantum Information Technologies,USTC Tang Scholar,and the Fundamental Research Funds for the Central Universities.
The application of the vector magnetometry based on nitrogen-vacancy(NV)ensembles has been widely investigatedin multiple areas.It has the superiority of high sensitivity and high stability in ambient conditions with ...
关键词:vector magnetometry NV ensembles optically detected magnetic resonance(ODMR) zero bias magnetic field 
Physics-Constrained Robustness Enhancement for Tree Ensembles Applied in Smart Grid
《Computers, Materials & Continua》2024年第8期3001-3019,共19页Zhibo Yang Xiaohan Huang Bingdong Wang Bin Hu Zhenyong Zhang 
This work was supported by Natural Science Foundation of China(Nos.62303126,62362008,62066006,authors Zhenyong Zhang and Bin Hu,https://www.nsfc.gov.cn/,accessed on 25 July 2024);Guizhou Provincial Science and Technology Projects(No.ZK[2022]149,author Zhenyong Zhang,https://kjt.guizhou.gov.cn/,accessed on 25 July 2024);Guizhou Provincial Research Project(Youth)forUniversities(No.[2022]104,author Zhenyong Zhang,https://jyt.guizhou.gov.cn/,accessed on 25 July 2024);GZU Cultivation Project of NSFC(No.[2020]80,author Zhenyong Zhang,https://www.gzu.edu.cn/,accessed on 25 July 2024).
With the widespread use of machine learning(ML)technology,the operational efficiency and responsiveness of power grids have been significantly enhanced,allowing smart grids to achieve high levels of automation and int...
关键词:Tree ensemble robustness enhancement adversarial attack smart grid 
Predictability of the 7·20 extreme rainstorm in Zhengzhou in stochastic kinetic-energy backscatter ensembles
《Science China Earth Sciences》2024年第7期2226-2241,共16页Min YANG Peilong YU Lifeng ZHANG Xiaobing PAN Quanjia ZHONG Yunying LI 
supported by the National Natural Science Foundation of China(Grant Nos.42105066,42205046,41975066&U2242201);the Hunan Provincial Natural Science Foundation of China(Grant No.2021JC0009)。
The scale-dependent predictability of the devastating 7·20 extreme rainstorm in Zhengzhou,China in 2021 was investigated via ensemble experiments,which were perturbed on different scales using the stochastic kinetic-...
关键词:Stochastic kinetic-energy backscatter(SKEB) Extreme rainfall Ensemble forecast PREDICTABILITY 
The method of residual‑based bootstrap averaging of the forecast ensemble
《Financial Innovation》2023年第1期991-1002,共12页Vera Ivanyuk 
This paper presents an optimization approach—residual-based bootstrap averaging(RBBA)—for different types of forecast ensembles.Unlike traditional residual-mean-square-error-based ensemble forecast averaging approac...
关键词:Forecast ensembles Time series Artificial neural networks 
Modelselection,adaptation,and combination for transfer learning in wind and photovoltaic power forecasts被引量:3
《Energy and AI》2023年第4期31-42,共12页Jens Schreiber Bernhard Sick 
This work results from the project TRANSFER(01IS20020B)funded by BMBF(German Federal Ministry of Education and Research).
There is recent interest in using model hubs–a collection of pre-trained models–in computer vision tasks.To employ a model hub,we first select a source model and then adapt the model for the target to compensate for...
关键词:Transfer learning Time series Renewable energies Temporal convolutional neural network ENSEMBLES Wind and photovoltaic power 
A Survey on Acute Leukemia Expression Data Classification Using Ensembles
《Computer Systems Science & Engineering》2023年第11期1349-1364,共16页Abdel Nasser H.Zaied Ehab Rushdy Mona Gamal 
Acute leukemia is an aggressive disease that has high mortality rates worldwide.The error rate can be as high as 40%when classifying acute leukemia into its subtypes.So,there is an urgent need to support hematologists...
关键词:LEUKEMIA CLASSIFICATION ENSEMBLE rotation forest pairwise correlation bayesian networks gene expression data MICROARRAY gene selection 
Limit Theorems and Large Deviations forβ-Jacobi Ensembles at Scaling Temperatures
《Acta Mathematica Sinica,English Series》2023年第10期2054-2074,共21页Yu Tao MA 
Supported by NSFC(Grant Nos.12171038,11871008);985 Projects。
Letλ=(λ_(1),...,λ_(n))beβ-Jacobi ensembles with parameters p_(1),p_(2),n andβwhileβvarying with n.Setγ=lim_(n→∞)n/p_(1)andσ=lim_(n→∞)p_(1)/p_(2).In this paper,supposing lim_(n→∞)log_(n)/β_(n)=0,we prove...
关键词:β-Jacobi ensemble large deviation principle semi-circle law Marchenko-Pastur law Wachter law 
Predictability and Risk of Extreme Winter PM_(2.5)Concentration in Beijing
《Journal of Meteorological Research》2023年第5期632-642,共11页Jingpeng LIU Adam A.SCAIFE Nick DUNSTONE Hong-Li REN Doug SMITH Steven CHARDIMAN Bo WU 
Supported by the National Natural Science Foundation of China (42005041 and U2242206);National Key Research and Development Program of China (2018YFA0606302 and 2018YFC1506001);National Basic Research Program of China (2015CB453203);UK–China Research&Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund。
Air pollution remains a serious environmental and social problem in many big cities in the world.How to predict and estimate the risk of extreme air pollution is unsettled yet.This study tries to provide a solution to...
关键词:UNprecedented Simulation of Extremes with ENsembles(UNSEEN) climate risk PM_(2.5) BEIJING 
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